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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Understanding Trident's data model

The Trident tuple is the data model of a Trident topology. The Trident tuple is the basic unit of data that can be processed by a Trident topology. Each tuple consists of a predefined list of fields. The value of each field can be a byte, char, integer, long, float, double, Boolean, or byte array. During the construction of a topology, operations are performed on a tuple, which will either add new fields to the tuple or replace the tuple with a new set of fields.

Each of the fields in a tuple can be accessed by name, (getValueByField(String)), or its positional index, (getValue(int)), in the tuple. The Trident tuple also provides convenience methods, such as getIntegerByField(String), which saves you from typecasting the objects.

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